Study on the synergy between intra-urban resident’s migration and job change in Beijing

doi:10.1007/s11442-015-1214-7

Abstract

Abstract:

People’s decisions of residential mobility in housing market and decisions of job change in labor market play an essential role in the formation and dynamics of urban spatial structure. This paper investigates the relationship between residential relocation and job change and its heterogeneity using a large-scale survey of residential living satisfaction and preferences in Beijing. Several conclusions are drawn as follows: 1) People’s decisions of residential mobility are significantly positively correlated with their decisions of job change, indicating that these two-dimensional decisions are in fact a correlated decision process rather than two independent decision processes. 2) There is heterogeneity in the correlated decisions of residential mobility and job change. More specifically, the interrelationship between the decisions of residential mobility and job change among people without Beijing hukou, renters and single-worker households is more intensive than people with Beijing hukou, homeowners and multi-worker households. In addition, there is heterogeneity in the determinants of residential relocation and job change between groups with different types of housing tenure, household registration status and family employment structure. 3) For renters, commuting time can significantly increase the probability of residential relocation, which indicates that residents of different socioeconomic attributes have very different responses to commuting time costs.

Key words: residential mobility, job change, bivariate discrete choice models, Beijing

Jianhui YU, Guanpeng DONG, Wenzhong ZHANG, Jiaming LI. Study on the synergy between intra-urban resident’s migration and job change in Beijing[J].Journal of Geographical Sciences, 2015, 25(8): 978-990.

Figures/Tables 5

Figure 1

Table 1

Table 2

Estimate results of bivariate probit models among all households, owners and renters"

Variables	All samples (Model 1)				Owners (Model 2)				Renters (Model 3)
	Residential move		Job change		Residential move		Job change		Residential move		Job change
	β	Std.error	β	Std.error	β	Std.error	β	Std.error	β	Std.error	β	Std.error
Constant	0.5378^*	0.3246	-0.7314	0.2924	-0.1768	0.4738	-1.3496	0.4752	0.3768	0.5475	-0.7175*	0.4386
Age
30-40	-0.0521	0.0756	-0.0922	0.0877	0.0811	0.0929	-0.1037	0.1096	-0.3169^**	0.1371	-0.0881	0.1522
40-50	-0.3365^***	0.0959	-0.2838^**	0.1132	-0.2406^**	0.1110	-0.2258*	0.1289	-0.6201^***	0.2154	-0.5957^**	0.2700
50-60	-0.3814^**	0.1721	-0.0852	0.1858	-0.2232	0.1926	-0.2146	0.2252	-0.9816^**	0.4165	0.2253	0.3716
Family income (10⁴ yuan/month)
0.3-0.5	-0.0934	0.1229	0.1027	0.1399	-0.1078	0.1733	0.1872	0.2072	0.0121	0.1862	0.1036	0.2007
0.5-1	-0.0553	0.1221	-0.0304	0.1419	0.0005	0.1712	0.0698	0.2096	-0.1075	0.1866	-0.0851	0.2037
1-1.5	-0.0355	0.1421	0.1136	0.1630	0.1225	0.1886	0.3830*	0.2243	-0.4477*	0.2513	-0.7118^**	0.3155
> 1.5	0.2729	0.1724	-0.0168	0.2104	0.3423	0.2114	0.0413	0.2703	0.1394	0.4408	0.2056	0.4427
Education
High school	0.2608	0.1993	0.0796	0.2161	0.3661	0.3138	0.3258	0.3479	0.0842	0.2884	-0.2539	0.3027
College	0.3836**	0.1953	0.2250	0.2117	0.5029	0.3101	0.4149	0.3449	0.1965	0.2801	-0.0046	0.2923
Postgraduate	0.3689*	0.2251	0.2384	0.2510	0.4692	0.3340	0.3448	0.3786	0.2539	0.3907	0.2174	0.4192
Occupation
Skill intensive	-0.0975	0.0926	0.2025*	0.1155	-0.0851	0.1032	0.1675	0.1307	-0.1116	0.2213	0.4028	0.2692
Labor intensive	-0.1457	0.0957	0.1663	0.1188	-0.1825^*	0.1097	0.1229	0.1374	-0.0134	0.2177	0.3992	0.2659
Freelance	-0.3010^**	0.1431	0.2663*	0.1594	-0.4501^**	0.1910	0.2370	0.1981	-0.1504	0.2677	0.4230	0.3131
Household employment structure
Multiworkers	-0.2263^**	0.0999	-0.1437	0.1126	-0.2589^**	0.1322	-0.2333	0.1500	-0.2238	0.1600	-0.0201	0.1743
Household registration
Nonmigrator	-0.3910^***	0.1061	-0.3234^***	0.1164	-0.3970^**	0.1710	-0.4392^**	0.1879	-0.3502^**	0.1425	-0.2122	0.1547
Housing tenure
Buy	-0.6826^***	0.0788	-0.4233^***	0.0900
Commuting time	0.0045	0.0523	-0.0259	0.0592	-0.0100	0.0688	0.0027	0.0807	0.0488^**	0.0217	-0.0397	0.0899
N	2074				1607				467
Log likelihood	-1622.2713				-1087.7912				-508.92
Correlation coefficient (ρ)	0.2461^***(0.0507)				0.1519^** (0.0671)				0.3788^*** (0.0783)
Likelihood test of independence (P)	22.1563 (0.0000)				5.0216 (0.0250)				20.0436 (0.0000)

Table 2

Table 3

Table 4

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Variables	Non-migrator (Model 4)				Migrant (Model 5)
	Residential move		Job change		Residential move		Job change
	β	Std.error	β	Std.error	β	Std.error	β	Std.error
Constant	0.0856	0.3900	-0.91862^**	0.35946	1.1040	0.8250	-0.695022	0.607114
Age
30-40	0.0652	0.0822	-0.0898	0.0966	-0.7233^***	0.2176	-0.2361	0.2259
40-50	-0.2427^**	0.1002	-0.2638^**	0.1186	-0.9058^**	0.4391	-0.6947	0.4515
50-60	-0.3200^*	0.1790	-0.1258	0.1949	-0.6286	0.8218	-0.1125	0.7947
Family income (10⁴ yuan/month)
0.3-0.5	-0.1596	0.1367	0.0462	0.1590	0.1900	0.2952	0.4321^***	0.1546
0.5-1	-0.1365	0.1357	-0.0105	0.1604	0.2586	0.2981	-0.1899	0.3179
1-1.5	-0.1005	0.1551	0.1394	0.1807	0.3583	0.4081	0.0130	0.4279
> 1.5	0.1245	0.1885	-0.0611	0.2382	1.2338^**	0.5055	0.1893	0.4846
Education
High school	0.2628	0.2565	0.0157	0.2655	0.2798	0.3640	0.0349	0.3783
College	0.4071*	0.2529	0.1238	0.2622	0.4317	0.3513	0.2653	0.3589
Postgraduate	0.4078	0.2786	0.1947	0.2973	0.1043	0.5451	-0.0948	0.5792
Occupation
Skill intensive	-0.0436	0.0979	0.1673	0.1235	-0.7525^**	0.3301	0.4245	0.3596
Labor intensive	-0.1364	0.1010	0.1839	0.1256	-0.4463	0.3522	0.0762	0.3846
Freelance	-0.2457^*	0.1369	0.2756*	0.154467	-0.7395^*	0.4264	0.2641	0.4494
Household employment structure
Multiworkers	-0.2249^**	0.1116	-0.21439^*	0.1267	-0.1829	0.2426	0.0797	0.2553
Housing tenure
Buy	-0.6894^***	0.0852	-0.4398^***	0.0975	-0.6518^***	0.2341	-0.2544	0.2448
Commuting time	0.0186	0.0586	-0.0174	0.0673	-0.0200	0.1278	-0.1184	0.1313
N	1869				205
Log likelihood	-1389.1763				-210.7548
Correlation coefficient (ρ)	0.1886^*** (0.0571)				0.5397^*** (0.1096)
Likelihood test of independence (P)	10.5122 (0.0012)				17.4117 (0.0000)

Variables	Single worker household (Model 6)				Single worker household (Model 7)
	Residential move		Job change		Residential move		Job change
	β	Std.error	β	Std.error	β	Std.error	β	Std.error
Constant	1.1412	0.7533	-1.1286	0.6464	0.3151	0.3764	-0.8269	0.3572
Age
30-40	0.0409	0.1989	-0.4047*	0.2373	-0.0710	0.0824	-0.0454	0.0956
40-50	-0.6708^**	0.3333	-0.3976	0.3497	-0.3056^***	0.1014	-0.2535^**	0.1209
50-60	-0.5666	0.6146	1.1108	1.4833	-0.3643^**	0.1809	-0.3086	0.2193
Family income (10⁴ yuan/month)
0.3-0.5	-0.0590	0.2255	0.2575	0.2479	-0.1942	0.1545	0.0116	0.1794
0.5-1	0.1525	0.2703	-0.0938	0.3168	-0.1806	0.1490	-0.0737	0.1748
1-1.5	0.3728	0.4446	0.0810	0.4876	-0.1664	0.1659	0.0777	0.1918
> 1.5	0.9112^*	0.5337	-0.0667	0.6866	0.1165	0.1958	-0.0599	0.2383
Education
High school	0.4681	0.3751	0.3398	0.3185	0.1941	0.2432	0.2442	0.2800
College	0.5969^*	0.3645	0.0726	0.3303	0.3209	0.2387	0.3245	0.2750
Postgraduate	0.5822	0.4955	0.1976	0.3982	0.3091	0.2684	0.3301	0.3134
Occupation
Skill intensive	0.0493	0.2754	0.3398	0.3185	-0.1083	0.0996	0.2043^*	0.1265
Labor intensive	-0.1495	0.2968	0.0726	0.3303	-0.1291	0.1023	0.2111^*	0.1296
Freelance	-0.3561	0.3804	0.1976	0.3982	-0.2709^*	0.1585	0.3396^**	0.1773
Household registration
Nonmigrator	-0.2355^***	0.2445	-0.1105	0.2678	-0.4252^***	0.1197	-0.3972^***	0.1312
Housing tenure
Buy	-0.8493	0.2036	-0.5286^**	0.2277	-0.6512^***	0.0868	-0.4062^***	0.0997
Commuting time	0.2601	0.2369	0.0651	0.1515	0.0552	0.0577	-0.0526	0.0652
N	274				1800
Log likelihood	-240.8636				-1362.95
Correlation coefficient(ρ)	0.3633^*** (0.1229)				0.2330^*** (0.0560)
Likelihood test of independence (P)	7.5433 (0.0060)				16.4065 (0.0001)

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